Yet Analytics Blog

While there are only a few steps necessary to perform xAPI statement forwarding from one xAPI conformant LRS to another xAPI conformant LRS, the automation of these steps will require some knowledge of programming.

In addressing data quality and usability, we often focus on attributes like data format and storage type. But in considering what makes data truly actionable, there are qualities that are more important—without these qualities, data becomes difficult to analyze regardless of format.

Despite exponential growth in the development of learning technologies, there has been relatively little support in terms of professional development for engineers designing, building, and deploying new learning technologies.

While there was certainly a big conversation around the strategy of xAPI, there are still many tactical questions that audiences were asking. As a presenter and an attendee, these are the top five tactical questions I heard most from attendees along with some helpful answers and resources.

Over at Mel's Learning Lab, Melissa Milloway is sharing the project that she and Ross Kerr put together for the spring 2018 xAPI cohort. They used Articulate Storyline 360 to create animations and an interactive quiz, and are collecting experience data using the Yet LRS.

At just about every organization, a shared strategic goal of making more data-driven decisions has been set as a top priority. But in order to be successful in this endeavor, departments need more than just more data—they need access to the right kind of data for the types of decisions they want to be able to make.

The modern learning ecosystem is both amazing and overwhelming. A single organization’s learning ecosystem is likely to contain dozens of different tools and resources. Add to that the multitude of resources available on the Internet and the scope is truly staggering.